Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Comparative analysis of cell-cell communication at single-cell resolution

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.04.479209Source: DataRank Database

Comparative analysis of cell-cell communication at single-cell resolution is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 16 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access16 citations

Download PDF

Cite:

Linked data & code

geo

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Alex K. Shalek ORCID,Susan Holmes ORCID,Catherine A. Blish ORCID,Aaron J. Wilk ORCID

Live enrichment

PubMed:35169794 OpenAlex:https://openalex.org/W4210917189

National Institutes of Health

Grant: 5R01AI161803-04

Natural killer cell engineering to target the HIV reservoir

National Institutes of Health

Grant: 5T32GM007365-23

MEDICAL SCIENTIST TRAINING PROGRAM

National Institutes of Health

Grant: 9R01HD103571-26

Early and Reinfection in High Risk Women

National Institutes of Health

Grant: 5U54CA217377-03

Quantitative and functional characterization of therapeutic resistance in cancer

National Institutes of Health

Grant: 5DP1DA053731-02

Defining the impact of drug use on immune function and fitness against HIV-1

greenLicense: Springer Nature TDM

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/03/28/2022.02.04.479209.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.02.04.479209

repositoryhttps://doi.org/10.1101/2022.02.04.479209

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35169794

Fields of Study

Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis Techniques0301 basic medicine03 medical and health sciences

Keywords

Computational biologyMulticellular organismLeverage (statistics)InferenceComputer scienceBiologyCellVisualizationScalabilityArtificial intelligenceGeneticsGene Expression ProfilingCell CommunicationSingle-Cell AnalysisTranscriptome

Sustainable Development Goals

SDG 0: Life in Land

Comparative analysis of cell-cell communication at single-cell resolution

FAIR Checklist

Authors (4)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)